Article 57YG6 Video: GigaIO on Optimizing Compute Resources for ML, HPDA and other Advanced Workloads

Video: GigaIO on Optimizing Compute Resources for ML, HPDA and other Advanced Workloads

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from High-Performance Computing News Analysis | insideHPC on (#57YG6)
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In this interview, GigaIO CEO Alan Benjamin talks about systems performance problems and wasted compute resources when implementing ML, HPDA and other high demand workloads that involve high data volumes. At issue, Benjamin explains, is today's rack architecture, which is decades old and unsuited for combinations of CPUs, GPUs and other accelerators needed for advanced computing strategies. The answer: the composable disaggregated infrastructure."

The post Video: GigaIO on Optimizing Compute Resources for ML, HPDA and other Advanced Workloads appeared first on insideHPC.

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